• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 하계종합학술대회 논문집
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• pp.527-530
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• 1989

In order to reduce harmonic contents in the inverter output, various PWM ( pulse with modulation ) techniques have been utilized. This paper suggests a single phase inverter with 4-level output and its PWM control scheme. The proposed 4-level output inverter shows better performence than the 3-level output one in respects of the current error and the switching frequency.

• Journal of Plant Biotechnology
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• 제37권1호
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• pp.67-71
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• 2010

Output traits centered on improved plant-based products will find their way to consumers in such ways as nutritionally enhanced foods, therapeutic proteins for disease treatment and vaccines, bio-industrial products, modified oil quality and biofuels. Significant progress in biotechnology has occurred over the last several decades. The importance of output traits development and production using biotechnology will impact not only agribusiness, but also pharmaceutical and food industries. The objective of this paper is to review briefly the current status of output traits development in crop plants using nutrients and pharmaceuticals as examples.

• 경영과정보연구
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• 제20권
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• pp.137-156
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• 2007

This study had an objective to obtain a result of the economic impacts of lodging industry on the Koran economy. Using the input-output model(I-O model), lodging industry sectoral multipliers were derived from the effects of output, income, employment, value added. indirect tax, and import. According to results of this study, estimated economic impacts of the convention industry were $2,950 million in output, $712 million in income, 92,257persons in employment, $1,590 million in value added, $12 million in indirect tax, and $226 million in import sectors.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 1996년도 추계 학술 발표회 발표논문집
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• pp.211-216
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• 1996

This paper propose a fuzzy regression method using fuzzy neural networks when a membership value is attached to each input-output pair. First, an architecture of fuzzy nerual networks with fuzzy weights and fuzzy biases is shown. Next a cost function is defined using the fuzzy output from the fuzzy neural network and the corresponding target output with a membership value.A learning algorithm is derived from the cost function. The derived learning algorithm trains the fuzzy neural network so that the level set of the fuzzy output includes the target output. Last, the proposed method is applied to the quality evaluation problem of injection molding.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2001년도 춘계 학술대회 논문집
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• pp.169-169
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• 2001

With the aid of fast computing power, resampling techniques are being introduced for simulation output analysis (SOA). Autocorrelation among the output from discrete-event simulation prohibit the direct application of resampling schemes (Threshold bootstrap, Binary bootstrap, Stationary bootstrap, etc) extend its usage to time-series data such as simulation output. We present a new method for inference from a regenerative process, regenerative bootstrap, that equals or exceeds the performance of classical regenerative method and approximation regeneration techniques. Regenerative bootstrap saves computation time and overcomes the problem of scarce regeneration cycles. Computational results are provided using M/M/1 model.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1292-1294
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• 1996

The general output circuit for PWM output is pushpull using a complimentary MOSFET. The gate driver coupled directly at gate can switch easy upto a high frequency. However, a high reverse recovery current and parastic components make a oscillation output. This paper analyses this phenomenon and proposes a novel output circuit preventing the oscillation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1993년도 하계학술대회 논문집 A
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• pp.313-315
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• 1993

This paper presents the control of input/output automata. The input/output automata provides an appropriate model for discrete event systems consisting of concurrently-operating components. Ramadge and Wonham's supervisor controller can be transformed into the controllter of input/output automata. Using input/output automata, the modelling can be more realistic and concurrent discrete event systems can be controlled easily.

• 한국통신학회논문지
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• 제32권3C호
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• pp.323-330
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• 2007

CDMA 셀룰라 망의 기지국에 이용될 수 있는 선형 스마트 안테나를 이차원으로 확장시켜 성능의 척도인 출력 신호대잡음비(Output SNR: Output Signal to Noise Ratio), 출력신호대간섭비(Output SIR: Output Signal to Interference Ratio), 출력신호대간섭잡음비(Output SINR: Output Signal to Interference plus Noise Ratio)를 도출 하였다 Beam forming algorithm 으로 SCGM(Simplified Conjugate Gradient Algorithm)을 설정하고 입력신호대 잡음비, antenna element 숫자, 간섭신호의 분포 등을 변화시키며 평면 스마트 안테나의 성능을 simulate 하였다. 간섭신호들의 방위각(Azimuth angle)이 -90도 에서 +90도 사이에서 고르게 분포할 때, 평면 스마트 안테나의 성능은 같은 숫자의 element를 갖는 선형 스마트 안테나의 성능에 근접함을 보였다.

• 한국지능시스템학회논문지
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• 제11권7호
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• pp.675-679
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• 2001

In this paper, we present a new competitive learning algorithm called Dynamic Competitive Learning (DCL). DCL is a supervised learning method that dynamically generates output neurons and initializes automatically the weight vectors from training patterns. It introduces a new parameter called LOG (Limit of Grade) to decide whether an output neuron is created or not. If the class of at least one among the LOG number of nearest output neurons is the same as the class of the present training pattern, then DCL adjusts the weight vector associated with the output neuron to learn the pattern. If the classes of all the nearest output neurons are different from the class of the training pattern, a new output neuron is created and the given training pattern is used to initialize the weight vector of the created neuron. The proposed method is significantly different from the previous competitive learning algorithms in the point that the selected neuron for learning is not limited only to the winner and the output neurons are dynamically generated during the learning process. In addition, the proposed algorithm has a small number of parameters, which are easy to be determined and applied to real-world problems. Experimental results for pattern recognition of remote sensing data and handwritten numeral data indicate the superiority of DCL in comparison to the conventional competitive learning methods.

• 대한인간공학회지
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• 제35권5호
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• pp.413-423
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• 2016

Objective:The aims of this study are to understand the effects of task (pushing, pulling, and clockwise and counter clockwise twisting) direction on the maximal output and their grip forces and to explore the relationship between the maximal output and the grip forces. Background: Knowing the normative maximal grip force is not enough to design a good hand tool. The industrial designers should understand the required grip forces in various motions toward a specific direction to make an effective and efficient hand tool. Method: Eighteen healthy volunteers participated in the series of isometric maximal output force tests. A custom-made force measuring equipment collected the output and the grip forces for three seconds. Force measurements along the vertical, coronal and sagittal axes were randomly repeated three times. Results: The pulling was strongest and the pushing was weakest in all directions. The effect of motion on the output forces varied in different directions. The corresponding grip force increased in the order of pushing, pulling, clockwise twisting, and counter clockwise twisting in all directions. The maximal output and their grip forces were highly correlated but the relationship was affected by motion and direction. The regression coefficient was greatest in pulling and smallest in clockwise twisting. Conclusion: The effect of motion on the output forces varied in different directions. The maximal output and their grip forces were correlated but the relationship was affected by motion and direction. Application: Findings of this study can be valuable information for industrial designers to develop more productive hand tools and work stations to help preventing the musculoskeletal disorders at work.